scholarly journals Sustainable Supplier Selection and Order Allocation under Demand, Supplier Availability and Supplier Grading Uncertainties

2021 ◽  
pp. 107811
Author(s):  
Zahra Sadat Hosseini ◽  
Simme Douwe Flapper ◽  
Mohammadali Pirayesh
Keyword(s):  
Supplier Selection ◽  
Order Allocation ◽  
Sustainable Supplier Selection

scholarly journals A Model and an Algorithm for a Large-Scale Sustainable Supplier Selection and Order Allocation Problem

Mathematics ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 325 ◽  
Author(s):  
Jong Soo Kim ◽  
Eunhee Jeon ◽  
Jiseong Noh ◽  
Jun Hyeong Park
Keyword(s):  
Supplier Selection ◽  
Large Scale ◽  
Optimal Solution ◽  
Computer Experiments ◽  
Planning Problem ◽  
Selling Price ◽  
Problem Size ◽  
Order Allocation ◽  
Minimum Order ◽  
Sustainable Supplier Selection

We consider a buyer’s decision problem of sustainable supplier selection and order allocation (SSS & OA) among multiple heterogeneous suppliers who sell multiple types of items. The buyer periodically orders items from chosen suppliers to refill inventory to preset levels. Each supplier is differentiated from others by the types of items supplied, selling price, and order-related costs, such as transportation cost. Each supplier also has a preset requirement for minimum order quantity or minimum purchase amount. In the beginning of each period, the buyer constructs an SSS & OA plan considering various information from both parties. The buyer’s planning problem is formulated as a mathematical model, and an efficient algorithm to solve larger instances of the problem is developed. The algorithm is designed to take advantage of the branch-and-bound method, and the special structure of the model. We perform computer experiments to test the accuracy of the proposed algorithm. The test result confirmed that the algorithm can find a near-optimal solution with only 0.82 percent deviation on average. We also observed that the use of the algorithm can increase solvable problem size by about 2.4 times.

An integrated approach based on the decision-theoretic rough set for resilient-sustainable supplier selection and order allocation

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pengyun Zhao ◽  
Shoufeng Ji ◽  
Yaoting Xue
Keyword(s):  
Rough Set ◽  
Supplier Selection ◽  
Integrated Approach ◽  
Improved Genetic Algorithm ◽  
Vikor Method ◽  
Order Allocation ◽  
Content Type ◽  
Sustainable Performance ◽  
Sustainable Supplier Selection ◽  
Practical Implications

PurposeThe purpose of this paper is to propose an innovative integration method based on decision-theoretic rough set and the extended VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) methods to address the resilient-sustainable supplier selection and order allocation (SS/OA) problem.Design/methodology/approachSpecifically, a two-stage approach is designed in this paper. First, the decision-theoretic rough set is employed to calculate the rough number for coping with the subjective uncertainty of data and assigning the weights for a resilient-sustainable evaluation criterion. On this basis, the supplier resilient-sustainable performance is ranked in combination with the extended VIKOR method. Second, a novel multi-objective optimization model is proposed that applies an improved genetic algorithm to select the resilient-sustainable supplier and allocate the corresponding order quantity under a multi-tier supplier network.FindingsThe results reveal that joint consideration of resilience and sustainability is essential in the SS/OA process. The method proposed in this study based on decision-theoretic rough sets and the extended VIKOR method can handle imprecise information flexibly, reduce information loss and obtain acceptable solutions for decision-makers. Numerical cases validate that this integrated approach can combine resilience and sustainability for effective and efficient SS/OA.Practical implicationsThis paper provides industry managers with a new perspective on SS/OA from a resilience and sustainability perspective as a basis for best practices for industry resilience and sustainability. The proposed method helps to evaluate the resilient-sustainable performance of potential suppliers, which is applicable to solving real-world SS/OA problems and has important practical implications for the resilient-sustainable development of supply chains.Originality/valueThe two interrelated priorities of resilience and sustainability have emerged as key strategic challenges in SS/OA issues. This paper is the first study of this issue that uses the proposed integrated approach.

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